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Using genomic prediction to detect microevolutionary change of a quantitative trait.
Hunter, D C; Ashraf, B; Bérénos, C; Ellis, P A; Johnston, S E; Wilson, A J; Pilkington, J G; Pemberton, J M; Slate, J.
Affiliation
  • Hunter DC; School of Biosciences, University of Sheffield, Sheffield S10 2TN, UK.
  • Ashraf B; School of Biology, University of St Andrews, St Andrews KY16 9ST, UK.
  • Bérénos C; School of Biosciences, University of Sheffield, Sheffield S10 2TN, UK.
  • Ellis PA; Department of Anthropology, Durham University, Durham DH1 3LE, UK.
  • Johnston SE; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3FL, UK.
  • Wilson AJ; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3FL, UK.
  • Pilkington JG; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3FL, UK.
  • Pemberton JM; Centre of Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Penryn TR10 9FE, UK.
  • Slate J; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3FL, UK.
Proc Biol Sci ; 289(1974): 20220330, 2022 05 11.
Article in En | MEDLINE | ID: mdl-35538786
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genome / Genomics Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Proc Biol Sci Journal subject: BIOLOGIA Year: 2022 Type: Article Affiliation country: United kingdom
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genome / Genomics Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Proc Biol Sci Journal subject: BIOLOGIA Year: 2022 Type: Article Affiliation country: United kingdom